The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-28"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "16691527 (up from 16487669 yesterday: 1.24 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "659622 (up from 654055 yesterday: 0.85 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4861925

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.95



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4356206 65869 1.54 1360108 149310 1298 0.88 3.43
Brazil 2483191 40816 1.67 814602 88539 921 1.05 3.57
India 1483156 3083 0.21 740739 33425 17 0.05 2.25
Russia 822060 5380 0.66 128845 13483 149 1.12 1.64
South Africa 459761 7232 1.60 243906 7257 190 2.69 1.58
Mexico 402697 7208 1.82 134689 44876 854 1.94 11.14
Peru 395005 5288 1.36 85727 18612 194 1.05 4.71
Chile 349800 1877 0.54 48781 9240 53 0.58 2.64
United Kingdom 302295 587 0.19 14421 45963 119 0.26 15.20
Iran 296273 2667 0.91 50585 16147 235 1.48 5.45
Spain 280610 1828 0.66 28480 28436 2 0.01 10.13
Pakistan 275225 936 0.34 37736 5865 23 0.39 2.13
Saudi Arabia 270831 1897 0.71 53723 2789 29 1.05 1.03
Colombia 267385 10284 4.00 147104 9074 297 3.38 3.39
Italy 246488 202 0.08 4532 35123 11 0.03 14.25
Bangladesh 229185 2960 1.31 60540 3000 35 1.18 1.31
Turkey 227982 963 0.42 20085 5645 15 0.27 2.48
France 221077 725 0.33 15005 30226 14 0.05 13.67
Germany 207707 595 0.29 9364 9131 6 0.07 4.40
Argentina 173355 5939 3.55 89929 3179 120 3.92 1.83
Canada 116871 400 0.34 8848 8957 12 0.13 7.66
Iraq 115332 2747 2.44 50631 4535 77 1.73 3.93
Qatar 109880 283 0.26 8935 167 2 1.21 0.15
Indonesia 102051 1748 1.74 35825 4901 63 1.30 4.80
Egypt 92947 465 0.50 15668 4691 39 0.84 5.05
China 86990 207 0.24 2073 4657 1 0.02 5.35
Kazakhstan 86192 1544 1.82 35133 793 208 35.56 0.92
Philippines 83673 1633 1.99 35800 1947 2 0.10 2.33
Ecuador 82279 1118 1.38 19034 5584 52 0.94 6.79
Sweden 79494 99 0.12 6150 5702 2 0.04 7.17
Oman 77904 846 1.10 28907 402 9 2.29 0.52
Bolivia 72327 1146 1.61 30782 2720 73 2.76 3.76
Ukraine 68030 934 1.39 17408 1650 14 0.86 2.43
Belarus 67366 115 0.17 3363 543 5 0.93 0.81
Belgium 66662 234 0.35 4604 9833 11 0.11 14.75
Israel 66293 2308 3.61 34071 486 12 2.53 0.73
Kuwait 65149 770 1.20 13904 442 4 0.91 0.68
Dominican Republic 64690 534 0.83 26260 1101 18 1.66 1.70
Panama 62223 781 1.27 21932 1349 27 2.04 2.17
United Arab Emirates 59546 369 0.62 6946 347 2 0.58 0.58
Netherlands 53647 223 0.42 2740 6164 4 0.06 11.49
Singapore 51197 359 0.71 6057 27 0 0.00 0.05
Portugal 50410 111 0.22 5994 1722 3 0.17 3.42
Romania 47053 1151 2.51 17433 2239 33 1.50 4.76
Guatemala 46451 1142 2.52 21664 1782 21 1.19 3.84
Poland 43904 502 1.16 7492 1682 6 0.36 3.83
Nigeria 41804 624 1.52 12015 868 8 0.93 2.08
Honduras 40460 719 1.81 15032 1214 48 4.12 3.00
Bahrain 39921 439 1.11 9600 141 0 0.00 0.35
Armenia 37629 239 0.64 8344 719 8 1.13 1.91
Afghanistan 36368 105 0.29 2984 1270 1 0.08 3.49
Switzerland 34609 132 0.38 2240 1978 0 0.00 5.72
Ghana 34406 782 2.33 12438 168 0 0.00 0.49
Kyrgyzstan 33844 548 1.65 25565 1329 28 2.15 3.93
Japan 32116 974 3.13 12061 1001 3 0.30 3.12
Azerbaijan 30858 412 1.35 9484 430 7 1.65 1.39
Algeria 28615 642 2.30 11736 1174 11 0.95 4.10
Ireland 25929 37 0.14 391 1764 0 0.00 6.80
Serbia 24520 379 1.57 7801 551 8 1.47 2.25
Moldova 23521 367 1.59 5380 753 5 0.67 3.20
Uzbekistan 21699 490 2.31 10861 124 3 2.48 0.57
Morocco 21387 500 2.39 6780 327 11 3.48 1.53
Austria 20677 119 0.58 2256 713 0 0.00 3.45
Nepal 19063 311 1.66 2895 49 1 2.08 0.26
Kenya 18581 606 3.37 10331 299 14 4.91 1.61
Cameroon 17179 69 0.40 2263 391 0 0.00 2.28
Venezuela 16571 583 3.65 8878 151 5 3.42 0.91
Costa Rica 16344 503 3.18 10858 125 10 8.70 0.76
Czechia 15799 283 1.82 3114 374 1 0.27 2.37
Cote d’Ivoire 15713 58 0.37 4519 98 2 2.08 0.62
Australia 15582 279 1.82 6696 176 9 5.39 1.13
El Salvador 15446 411 2.73 7139 417 9 2.21 2.70
Ethiopia 15200 653 4.49 9354 239 11 4.82 1.57
Korea, South 14251 48 0.34 1007 300 0 0.00 2.11
Denmark 13811 36 0.26 722 613 0 0.00 4.44
Sudan 11496 72 0.63 1499 725 5 0.69 6.31
West Bank and Gaza 10938 317 2.98 6291 79 1 1.28 0.72
Bulgaria 10871 250 2.35 4769 355 8 2.31 3.27
Bosnia and Herzegovina 10766 268 2.55 5145 297 3 1.02 2.76
North Macedonia 10315 102 1.00 3071 471 5 1.07 4.57
Madagascar 10104 414 4.27 6632 93 2 2.20 0.92

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 470762 12641 2.76 186750 8679 185 2.18 1.84 11914.34 219.65 1 in 84
Florida 441977 9230 2.13 228183 6117 186 3.14 1.38 20578.38 284.81 1 in 49
New York 412878 534 0.13 14641 32653 8 0.02 7.91 21223.77 1678.51 1 in 47
Texas 408493 8157 2.04 192467 5913 200 3.50 1.45 14087.97 203.93 1 in 71
New Jersey 180295 483 0.27 6417 15825 21 0.13 8.78 20298.48 1781.66 1 in 49
Georgia 175052 4209 2.46 74582 3563 54 1.54 2.04 16487.24 335.58 1 in 61
Illinois 174968 1074 0.62 25394 7638 30 0.39 4.37 13807.64 602.75 1 in 72
Arizona 165934 2107 1.29 60840 3408 104 3.15 2.05 21790.72 447.54 1 in 46
North Carolina 116700 1784 1.55 40410 1860 22 1.20 1.59 11126.91 177.34 1 in 90
Massachusetts 116182 256 0.22 5844 8551 15 0.18 7.36 16718.03 1230.45 1 in 60
Pennsylvania 114083 1088 0.96 18185 7154 23 0.32 6.27 8911.35 558.82 1 in 112
Louisiana 111038 1121 1.02 42775 3812 26 0.69 3.43 23885.33 820.00 1 in 42
Tennessee 99044 2555 2.65 45530 999 21 2.15 1.01 14494.58 146.20 1 in 69
Michigan 87958 785 0.90 14058 6421 16 0.25 7.30 8807.38 642.95 1 in 114
Virginia 86994 922 1.07 20254 2095 13 0.62 2.41 10192.00 245.44 1 in 98
Ohio 86497 1320 1.55 27593 3382 38 1.14 3.91 7399.80 289.33 1 in 135
Maryland 85524 648 0.76 15128 3458 11 0.32 4.04 14146.30 571.98 1 in 71
South Carolina 84109 1692 2.05 36757 1565 59 3.92 1.86 16335.92 303.96 1 in 61
Alabama 82366 1251 1.54 36581 1491 0 0.00 1.81 16798.47 304.09 1 in 60
Indiana 63678 771 1.23 15052 2924 18 0.62 4.59 9458.69 434.33 1 in 106
Washington 54205 884 1.66 16785 1548 30 1.98 2.86 7118.29 203.29 1 in 140
Mississippi 54085 1304 2.47 21871 1540 42 2.80 2.85 18172.81 517.45 1 in 55
Minnesota 52281 478 0.92 13148 1620 4 0.25 3.10 9270.29 287.25 1 in 108
Wisconsin 50179 762 1.54 17623 906 13 1.46 1.81 8618.22 155.61 1 in 116
Connecticut 49077 94 0.19 2044 4423 5 0.11 9.01 13765.23 1240.57 1 in 73
Colorado 45296 749 1.68 10649 1807 8 0.44 3.99 7865.61 313.78 1 in 127
Missouri 45181 1692 3.89 20263 1232 11 0.90 2.73 7361.55 200.74 1 in 136
Nevada 44936 1105 2.52 21151 759 20 2.71 1.69 14588.87 246.42 1 in 69
Iowa 42928 232 0.54 10775 839 3 0.36 1.95 13606.04 265.92 1 in 73
Arkansas 40181 734 1.86 15669 428 20 4.90 1.07 13314.56 141.82 1 in 75
Utah 38855 446 1.16 12822 286 5 1.78 0.74 12119.62 89.21 1 in 83
Oklahoma 33775 1090 3.33 16555 509 13 2.62 1.51 8535.57 128.63 1 in 117
Kentucky 28111 525 1.90 10592 719 10 1.41 2.56 6292.09 160.93 1 in 159
Kansas 26058 254 0.98 9198 340 7 2.10 1.30 8944.45 116.71 1 in 112
Nebraska 25157 258 1.04 4956 321 4 1.26 1.28 13005.01 165.94 1 in 77
New Mexico 19791 289 1.48 6064 626 7 1.13 3.16 9438.54 298.55 1 in 106
Idaho 19220 528 2.82 10681 160 8 5.26 0.83 10725.06 89.28 1 in 93
Rhode Island 18725 210 1.13 1571 1005 1 0.10 5.37 17675.75 948.69 1 in 57
Oregon 17408 320 1.87 6803 303 14 4.84 1.74 4127.33 71.84 1 in 242
Puerto Rico 15840 409 2.65 7126 209 8 3.98 1.32 4959.77 65.44 1 in 202
Delaware 14476 70 0.49 2062 580 1 0.17 4.01 14866.03 595.63 1 in 67
District of Columbia 11945 87 0.73 1376 583 1 0.17 4.88 16925.28 826.07 1 in 59
South Dakota 8492 48 0.57 1329 123 0 0.00 1.45 9599.18 139.04 1 in 104
New Hampshire 6500 59 0.92 568 409 0 0.00 6.29 4780.43 300.80 1 in 209
North Dakota 6141 155 2.59 2243 100 1 1.01 1.63 8058.40 131.22 1 in 124
West Virginia 6120 121 2.02 2615 108 4 3.85 1.76 3424.45 60.43 1 in 292
Maine 3838 6 0.16 398 121 2 1.68 3.15 2855.20 90.02 1 in 350
Montana 3474 94 2.78 2147 51 4 8.51 1.47 3250.44 47.72 1 in 308
Alaska 2730 107 4.08 1550 22 1 4.76 0.81 3731.83 30.07 1 in 268
Wyoming 2589 69 2.74 880 26 1 4.00 1.00 4473.36 44.92 1 in 224
Hawaii 1757 46 2.69 686 26 0 0.00 1.48 1240.93 18.36 1 in 806
Vermont 1405 3 0.21 151 56 0 0.00 3.99 2251.64 89.75 1 in 444

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 7417866 470762 6.35 2521496 186750 7.41 187735.98
2 Florida 3480299 441977 12.70 1211105 228183 18.84 162042.16
3 New York 5684546 412878 7.26 1339679 14641 1.09 292211.08
4 Texas 3476926 408493 11.75 1255639 192467 15.33 119911.03
5 New Jersey 1984304 180295 9.09 424171 6417 1.51 223402.56
6 Georgia 1487326 175052 11.77 507874 74582 14.69 140083.52
7 Illinois 2571707 174968 6.80 760751 25394 3.34 202946.92
8 Arizona 890931 165934 18.62 262134 60840 23.21 116998.49
9 North Carolina 1663540 116700 7.02 592250 40410 6.82 158612.38
10 Massachusetts 1141116 116182 10.18 234356 5844 2.49 164201.09
11 Pennsylvania 1169160 114083 9.76 319058 18185 5.70 91326.43
12 Louisiana 1276304 111038 8.70 428706 42775 9.98 274545.18
13 Tennessee 1411452 99044 7.02 490253 45530 9.29 206558.77
14 Michigan 1727882 87958 5.09 551371 14058 2.55 173015.59
15 Virginia 1059410 86994 8.21 331293 20254 6.11 124117.82
16 Ohio 1398733 86497 6.18 502248 27593 5.49 119661.31
17 Maryland 868256 85524 9.85 273878 15128 5.52 143615.94
18 South Carolina 670330 84109 12.55 225039 36757 16.33 130193.68
19 Alabama 665399 82366 12.38 204035 36581 17.93 135707.50
20 Indiana 716809 63678 8.88 186734 15052 8.06 106474.40
21 Washington 933304 54205 5.81 304048 16785 5.52 122562.98
22 Mississippi 433133 54085 12.49 105798 21871 20.67 145534.72
23 Minnesota 979988 52281 5.33 294741 13148 4.46 173768.08
24 Wisconsin 891631 50179 5.63 254854 17623 6.91 153137.16
25 Connecticut 752688 49077 6.52 222581 2044 0.92 211115.68
26 Colorado 500430 45296 9.05 139790 10649 7.62 86899.28
27 Missouri 652924 45181 6.92 217576 20263 9.31 106383.98
28 Nevada 450886 44936 9.97 134340 21151 15.74 146384.14
29 Iowa 457435 42928 9.38 118137 10775 9.12 144984.10
30 Arkansas 489906 40181 8.20 139251 15669 11.25 162337.45
31 Utah 514509 38855 7.55 131660 12822 9.74 160485.26
32 Oklahoma 589126 33775 5.73 200108 16555 8.27 148883.07
33 Kentucky 557713 28111 5.04 147841 10592 7.16 124832.99
34 Kansas 278936 26058 9.34 76717 9198 11.99 95745.26
35 Nebraska 261103 25157 9.63 68030 4956 7.29 134978.25
36 New Mexico 528890 19791 3.74 148650 6064 4.08 252233.25
37 Idaho 170717 19220 11.26 62176 10681 17.18 95262.73
38 Rhode Island 200960 18725 9.32 -59730 1571 -2.63 189699.26
39 Oregon 387656 17408 4.49 115750 6803 5.88 91910.90
41 Delaware 174623 14476 8.29 45938 2062 4.49 179327.85
42 District of Columbia 178022 11945 6.71 67645 1376 2.03 252245.49
43 South Dakota 107491 8492 7.90 22126 1329 6.01 121505.57
44 New Hampshire 156083 6500 4.16 28203 568 2.01 114791.30
45 North Dakota 150046 6141 4.09 35689 2243 6.28 196894.74
46 West Virginia 269844 6120 2.27 79997 2615 3.27 150991.50
47 Maine 159100 3838 2.41 48194 398 0.83 118359.31
48 Montana 161408 3474 2.15 56081 2147 3.83 151021.07
49 Alaska 213875 2730 1.28 82455 1550 1.88 292360.69
50 Wyoming 50780 2589 5.10 12991 880 6.77 87739.46
51 Hawaii 114143 1757 1.54 28470 686 2.41 80616.75
52 Vermont 91861 1405 1.53 20748 151 0.73 147215.74

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 400651 16928 4.41 239755 59.84 146129 14463 580 4.18 3.61
Tamil Nadu 234114 6426 2.82 172883 73.85 57490 3741 82 2.24 1.60
Delhi 133310 1035 0.78 118633 88.99 10770 3907 26 0.67 2.93
Andhra Pradesh 120390 10093 9.15 55406 46.02 63771 1213 65 5.66 1.01
Karnataka 112504 5503 5.14 42901 38.13 67447 2147 90 4.38 1.91
Uttar Pradesh 77334 3383 4.57 45807 59.23 29997 1530 33 2.20 1.98
West Bengal 65258 4428 7.28 44116 67.60 19652 1490 79 5.60 2.28
Gujarat 59126 2252 3.96 43297 73.23 13437 2392 48 2.05 4.05
Telangana 58906 1764 3.09 43751 74.27 14663 492 12 2.50 0.84
Bihar 45919 2328 5.34 30504 66.43 15141 273 4 1.49 0.59
Rajasthan 39780 1810 4.77 28309 71.16 10817 654 14 2.19 1.64
Assam 36296 2719 8.10 27833 76.68 8368 92 4 4.55 0.25
Haryana 33631 1504 4.68 26420 78.56 6798 413 16 4.03 1.23
Madhya Pradesh 30134 917 3.14 20934 69.47 8356 844 14 1.69 2.80
Odisha 29175 1068 3.80 18939 64.92 10041 195 6 3.17 0.67
Kerala 21798 2070 10.49 11365 52.14 10350 69 5 7.81 0.32
Jammu and Kashmir 19419 540 2.86 11322 58.30 7749 348 15 4.50 1.79
Punjab 14946 1177 8.55 10213 68.33 4372 361 43 13.52 2.42
Jharkhand 9894 1017 11.46 4061 41.05 5734 99 6 6.45 1.00
Chhattisgarh 8600 620 7.77 5636 65.53 2914 50 5 11.11 0.58
Uttarakhand 6866 538 8.50 3811 55.51 2945 72 6 9.09 1.05
Goa 5489 370 7.23 3784 68.94 1666 39 3 8.33 0.71
Tripura 4287 221 5.44 2621 61.14 1627 21 4 23.53 0.49
Puducherry 3177 166 5.51 1874 58.99 1256 47 0 0.00 1.48
Manipur 2458 172 7.52 1653 67.25 804 1 1 Inf 0.04
Himachal Pradesh 2403 121 5.30 1332 55.43 1043 13 0 0.00 0.54
Nagaland 1513 53 3.63 595 39.33 913 4 -1 -20.00 0.26
Arunachal Pradesh 1410 171 13.80 677 48.01 730 3 0 0.00 0.21
Ladakh 1347 20 1.51 1080 80.18 261 6 2 50.00 0.45
Dadra and Nagar Haveli and Daman and Diu 1068 65 6.48 667 62.45 388 2 0 0.00 0.19
Chandigarh 978 44 4.71 611 62.47 353 14 0 0.00 1.43
Meghalaya 784 46 6.23 207 26.40 572 5 0 0.00 0.64
Sikkim 596 28 4.93 198 33.22 397 1 0 0.00 0.17
Andaman and Nicobar Islands 428 90 26.63 201 46.96 224 2 1 100.00 0.47
Mizoram 395 11 2.86 215 54.43 180 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1271875 96008 53 0.06 7.55 151 13 6678 16802 17.50
Piemonte 490394 31622 12 0.04 6.45 136 5 801 4127 13.05
Emilia-Romagna 625962 29575 20 0.07 4.72 72 3 1459 4286 14.49
Veneto 1191525 19849 24 0.12 1.67 33 0 754 2069 10.42
Toscana 414464 10441 3 0.03 2.52 13 0 363 1134 10.86
Liguria 184178 10177 3 0.03 5.53 27 0 209 1566 15.39
Lazio 409189 8577 10 0.12 2.10 194 9 942 862 10.05
Marche 163868 6838 11 0.16 4.17 4 0 120 987 14.43
P.A. Trento 149099 4966 0 0.00 3.33 1 0 94 405 8.16
Campania 326098 4955 29 0.59 1.52 27 4 393 434 8.76
Puglia 233247 4596 4 0.09 1.97 15 0 82 551 11.99
Friuli Venezia Giulia 243893 3375 0 0.00 1.38 7 2 112 345 10.22
Abruzzo 125542 3369 1 0.03 2.68 14 1 107 472 14.01
Sicilia 267962 3215 19 0.59 1.20 29 2 206 283 8.80
P.A. Bolzano 102095 2692 2 0.07 2.64 7 0 85 292 10.85
Umbria 118369 1465 0 0.00 1.24 7 1 17 80 5.46
Sardegna 104201 1392 6 0.43 1.34 5 0 21 134 9.63
Calabria 117706 1252 5 0.40 1.06 3 0 83 97 7.75
Valle d’Aosta 21176 1206 10 0.84 5.70 1 0 11 146 12.11
Molise 27168 469 0 0.00 1.73 1 0 25 23 4.90
Basilicata 46282 449 0 0.00 0.97 2 0 47 28 6.24

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 58897 169 0.29 5670 3 0.05 9.63 6898.48 664.12 1 in 145
Ontario 40787 114 0.28 2812 5 0.18 6.89 2772.40 191.14 1 in 361
Alberta 10470 80 0.77 187 1 0.54 1.79 2372.46 42.37 1 in 422
British Columbia 3523 23 0.66 194 1 0.52 5.51 689.31 37.96 1 in 1451
Saskatchewan 1218 9 0.74 17 1 6.25 1.40 1030.75 14.39 1 in 970
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Manitoba 405 5 1.25 8 1 14.29 1.98 294.01 5.81 1 in 3401
Newfoundland and Labrador 266 0 0.00 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 2884 23 0.80
Guangdong 1674 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 932 9 0.97
Jiangxi 932 1 0.11
Shandong 799 7 0.88
Shanghai 744 7 0.94
Jiangsu 655 0 0.00
Sichuan 604 3 0.50
Chongqing 583 6 1.03
Xinjiang 400 3 0.75
Fujian 366 1 0.27
Hebei 349 6 1.72
Shaanxi 323 3 0.93
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Liaoning 217 2 0.92
Tianjin 204 3 1.47
Shanxi 201 0 0.00
Yunnan 190 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 13313.59 456.33 1 in 75
Brazil 11864.27 423.02 1 in 84
India 1107.66 24.96 1 in 903
Russia 5689.00 93.31 1 in 176
South Africa 8105.80 127.94 1 in 123
Mexico 3116.85 347.34 1 in 321
Peru 12278.68 578.55 1 in 81
Chile 19379.50 511.91 1 in 52
United Kingdom 4549.89 691.80 1 in 220
Iran 3650.48 198.95 1 in 274
Spain 6013.93 609.43 1 in 166
Pakistan 1397.08 29.77 1 in 716
Saudi Arabia 8221.95 84.67 1 in 122
Colombia 5449.05 184.92 1 in 184
Italy 4075.53 580.74 1 in 245
Bangladesh NA NA 1 in NA
Turkey 2821.21 69.86 1 in 354
France 3300.15 451.20 1 in 303
Germany 2508.84 110.29 1 in 399
Argentina 3915.86 71.81 1 in 255

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 224249 23507 10.48
Los Angeles California 178642 4426 2.48
Maricopa Arizona 111446 1882 1.69
Miami-Dade Florida 110352 1425 1.29
Cook Illinois 103441 4857 4.70
Harris Texas 67655 671 0.99
Broward Florida 51657 607 1.18
Dallas Texas 48028 622 1.30
Nassau New York 43059 2194 5.10
Suffolk New York 43024 1996 4.64
Clark Nevada 38534 626 1.62
Bexar Texas 36438 497 1.36
Westchester New York 35838 1443 4.03
Riverside California 35187 671 1.91
Orange California 34833 581 1.67
Palm Beach Florida 31598 779 2.47
San Bernardino California 29962 395 1.32
Philadelphia Pennsylvania 29945 1678 5.60
Hillsborough Florida 27823 310 1.11
Orange Florida 27820 179 0.64
San Diego California 27507 533 1.94
Wayne Michigan 26331 2789 10.59
Tarrant Texas 25739 343 1.33
Middlesex Massachusetts 25429 1961 7.71
Prince George’s Maryland 21870 731 3.34
Suffolk Massachusetts 20960 1052 5.02
Bergen New Jersey 20341 2046 10.06
Duval Florida 20138 146 0.72
Travis Texas 19720 209 1.06
Mecklenburg North Carolina 19707 189 0.96
Hudson New Jersey 19399 1505 7.76
Essex New Jersey 19376 2103 10.85
Shelby Tennessee 19245 269 1.40
Milwaukee Wisconsin 18528 428 2.31
Salt Lake Utah 18441 162 0.88
Davidson Tennessee 18377 194 1.06
Middlesex New Jersey 17580 1408 8.01
Fairfield Connecticut 17494 1403 8.02
Passaic New Jersey 17348 1246 7.18
Montgomery Maryland 17230 787 4.57
Essex Massachusetts 17033 1170 6.87
Kern California 16896 135 0.80
Hennepin Minnesota 16661 808 4.85
Fulton Georgia 16482 373 2.26
Union New Jersey 16410 1349 8.22
Franklin Ohio 16042 496 3.09
Gwinnett Georgia 15915 217 1.36
Hidalgo Texas 15759 467 2.96
Pinellas Florida 15541 395 2.54
Fairfax Virginia 15509 519 3.35
Pima Arizona 15292 431 2.82
Out of GA Georgia 15014 75 0.50
King Washington 14717 648 4.40
Lee Florida 14716 272 1.85
Oakland Michigan 14200 1126 7.93
Providence Rhode Island 14033 0 0.00
Marion Indiana 13954 713 5.11
Rockland New York 13845 673 4.86
Jefferson Louisiana 13780 510 3.70
El Paso Texas 13552 220 1.62
Fresno California 13209 112 0.85
Worcester Massachusetts 13166 982 7.46
New Haven Connecticut 12965 1099 8.48
Hartford Connecticut 12401 1411 11.38
District of Columbia District of Columbia 11945 583 4.88
Cuyahoga Ohio 11938 460 3.85
Polk Florida 11893 236 1.98
Lake Illinois 11608 439 3.78
St. Louis Missouri 11595 643 5.55
DeKalb Georgia 11494 208 1.81
Baltimore Maryland 11252 534 4.75
Orange New York 11024 489 4.44
DuPage Illinois 11005 510 4.63
San Joaquin California 10923 133 1.22
Charleston South Carolina 10920 144 1.32
Nueces Texas 10901 154 1.41
Baltimore City Maryland 10702 403 3.77
Alameda California 10633 181 1.70
Jefferson Alabama 10563 203 1.92
Yuma Arizona 10562 226 2.14
Cobb Georgia 10453 292 2.79
Ocean New Jersey 10293 1012 9.83
Wake North Carolina 10289 115 1.12
East Baton Rouge Louisiana 10155 315 3.10
Orleans Louisiana 10071 553 5.49
Norfolk Massachusetts 10034 977 9.74
Monmouth New Jersey 9947 856 8.61
Douglas Nebraska 9810 124 1.26
Yakima Washington 9758 203 2.08
Greenville South Carolina 9625 165 1.71
Montgomery Pennsylvania 9621 845 8.78
Sacramento California 9418 121 1.28
Denver Colorado 9387 407 4.34
Santa Clara California 9215 184 2.00
Imperial California 9189 188 2.05
Polk Iowa 9126 193 2.11
Collier Florida 9069 120 1.32
Macomb Michigan 9055 937 10.35
Plymouth Massachusetts 9018 706 7.83
Bristol Massachusetts 8932 621 6.95

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc